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Artificial Intelligence and Lung Pathology.

Emanuel Caranfil1, Kris Lami1, Wataru Uegami1,2

  • 1Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki.

Advances in Anatomic Pathology
|May 23, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances lung cancer diagnosis by standardizing pathology, predicting patient survival, and identifying molecular alterations. This technology promises improved accuracy and efficiency in clinical practice.

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Area of Science:

  • Computational pathology
  • Digital pathology
  • Oncology

Background:

  • Lung cancer diagnosis relies heavily on expert pathologists.
  • Increasing complexity and volume of data necessitate advanced tools.
  • Artificial intelligence (AI) offers potential solutions for diagnostic challenges.

Purpose of the Study:

  • To provide a comprehensive overview of AI applications in lung pathology for cancer diagnosis.
  • To discuss AI models supporting pathologists and predicting clinical outcomes.
  • To address challenges and future directions for AI integration in clinical practice.

Main Methods:

  • Review of existing AI models and their applications in lung pathology.
  • Categorization of AI tools based on their function (diagnostic support, outcome prediction).
  • Analysis of AI's role in standardizing diagnosis, scoring biomarkers (e.g., PD-L1), and predicting survival.

Main Results:

  • AI models can standardize pathological diagnoses and improve biomarker scoring accuracy.
  • AI tools demonstrate potential in predicting patient survival and identifying molecular alterations.
  • Explainability features in AI models enhance trust and understanding for pathologists.

Conclusions:

  • AI holds significant potential to enhance accuracy and efficiency in lung cancer pathology.
  • Integration of AI into clinical workflows requires addressing current challenges.
  • Future research should focus on validating AI tools and optimizing their clinical implementation.